Machine Learning and Its Applications : Advanced Lectures

by Paliouras, Georgios; Karkaletsis, Vangelis; Spyropoulos, Constantine D.

• ISBN13: 9783540424901
• ISBN10: 3540424903
• Format: Paperback
• Copyright: 2001-09-01
• Publisher: Springer Verlag

Summary

In recent years machine learning has made its way from artificial intelligence into areas of administration, commerce, and industry. Data mining is perhaps the most widely known demonstration of this migration, complemented by less publicized applications of machine learning like adaptive systems in industry, financial prediction, medical diagnosis and the construction of user profiles for Web browsers.This book presents the capabilities of machine learning methods and ideas on how these methods could be used to solve real-world problems. The first ten chapters assess the current state of the art of machine learning, from symbolic concept learning and conceptual clustering to case-based reasoning, neural networks, and genetic algorithms. The second part introduces the reader to innovative applications of ML techniques in fields such as data mining, knowledge discovery, human language technology, user modeling, data analysis, discovery science, agent technology, finance, etc.

Table of Contents

Methods
Comparing Machine Learning and Knowledge Discovery in DataBases: An Application to Knowledge Discovery in Texts	1	(21)
Yves Kodratoff
Learning Patterns in Noisy Data: The AQ Approach	22	(17)
Ryszard S. Michalski
Kenneth A. Kaufman
Unsupervised Learning of Probabilistic Concept Hierarchies	39	(32)
Wayne Iba
Pat Langley
Function Decomposition in Machine Learning	71	(31)
Blaz Zupan
Ivan Bratko
Marko Bohanec
Janez Demsar
How to Upgrade Propositional Learners to First Order Logic: A Case Study	102	(25)
Wim Van Laer
Luc De Raedt
Case-Based Reasoning	127	(19)
Ramon Lopez de Mantaras
Genetic Algorithms in Machine Learning	146	(23)
Jonathan Shapiro
Pattern Recognition and Neural Networks	169	(27)
Sergios Theodoridis
Konstantinos Koutroumbas
Model Class Selection and Construction: Beyond the Procrustean Approach to Machine Learning Applications	196	(22)
Maarten van Someren
Integrated Architectures for Machine Learning	218	(12)
Lorenza Saitta
Applications
The Computational Support of Scientific Discovery	230	(19)
Pat Langley
Support Vector Machines: Theory and Applications	249	(9)
Theodoros Evgeniou
Massimiliano Pontil
Pre- and Post-Processing in Machine Learning and Data Mining	258	(9)
Ivan Bruha
Machine Learning in Human Language Technology	267	(7)
Nikos D. Fakotakis
Kyriakos N. Sgarbas
Machine Learning for Intelligent Information Access	274	(7)
Grigoris Karakoulas
Giovanni Semeraro
Machine Learning and Intelligent Agents	281	(5)
Themis Panayiotopoulos
Nick Z. Zacharis
Machine Learning in User Modeling	286	(9)
Christos Papatheodorou
Data Mining in Economics, Finance, and Marketing	295	(5)
Hans C. Jessen
Georgios Paliouras
Machine Learning in Medical Applications	300	(8)
George D. Magoulas
Andriana Prentza
Machine Learning Applications to Power Systems	308	(10)
Nikolaos Hatziargyriou
Intelligent Techniques for Spatio-Temporal Data Analysis in Environmental Applications	318	(7)
Nikolaos Vassilas
Elias Kalapanidas
Nikolaos Avouris
Stavros Perantonis
Author Index	325